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STAT 159

Reproducible and Collaborative Statistical Data Science

University of California, Berkeley 4 credits Statistics

Course Description

A project-based introduction to statistical data analysis. Through case studies, computer laboratories, and a term project, students will learn practical techniques and tools for producing statistically sound and appropriate, reproducible, and verifiable computational answers to scientific questions. Course emphasizes version control, testing, process automation, code review, and collaborative programming. Software tools may include Bash, Git, Python, and LaTeX.

Code
STAT 159
Credits
4
Subject
Statistics

Programs That Include This Course

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